Pith Number
pith:XZD7AJ4E
pith:2019:XZD7AJ4EYFFGBIEBGHIMB5R7R2
not attested
not anchored
not stored
refs pending
Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning
arxiv:1908.01022 v4 · 2019-08-02 · cs.LG · cs.AI · cs.MA · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XZD7AJ4EYFFGBIEBGHIMB5R7R2}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T02:04:25.999605Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
be47f02784c14a60a08131d0c0f63f8e96719dc67b382130fd71359e410633b8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XZD7AJ4EYFFGBIEBGHIMB5R7R2 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: be47f02784c14a60a08131d0c0f63f8e96719dc67b382130fd71359e410633b8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "14e67f7099552f7866df6563f791231f7f226d927eb2f7ed3bfbc942a5e5d34b",
"cross_cats_sorted": [
"cs.AI",
"cs.MA",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-08-02T19:20:29Z",
"title_canon_sha256": "fab343dcf9c79dfbd58dea6c8b844dd7e2e4cfa900867b1e3632f5804bf4d5e3"
},
"schema_version": "1.0",
"source": {
"id": "1908.01022",
"kind": "arxiv",
"version": 4
}
}